Content and structural needs assessment for an artificial intelligence education mobile app in healthcare: a mixed methods study.

ABSTRACT:

Objective

This study aimed to identify and prioritize the core content and structural requirements for developing a high-quality mobile app designed to teach AI concepts and skills in a healthcare context.

Methods

A mixed-methods design was employed. First, two systematic reviews were conducted: [1] a review of scholarly articles to extract educational frameworks for AI in healthcare, and [2] a review of 47 AI education apps from three app stores (Google Play, App Store, Café Bazaar), assessed using the Mobile App Rating Scale (MARS). As no healthcare-specific AI education apps were found during the search, general-purpose AI learning apps were included, which constitutes a limitation in terms of domain specificity. Based on these insights, a preliminary content framework wa

SUBMITTER: Mousavi Baigi SF 

PROVIDER: S-EPMC12750786 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature